Director, Computational Biology

Employer
RAPT Therapeutics, Inc.
Location
South San Francisco, California, US
Salary
Competitive
Posted
Jul 27, 2021
Closes
Aug 22, 2021
Ref
2342309789
Discipline
Biology, Statistics
Employment Type
Full time
Salary Type
Salary
Director, Computational Biology
Computational science is a fundamental component of RAPT Therapeutic's approach to developing novel treatments for oncology and inflammatory diseases. We are seeking a talented scientist to lead our vibrant Computational Biology team. The job demands knowledge in oncology and/or immunology as well as cutting-edge tools and techniques in computational biology and bioinformatics.
RAPT makes extensive use of big data, especially proprietary and public RNA-Seq and single cell RNA-Seq data, at all stages of the drug discovery pipeline, from target ID to clinical biomarker analysis. As Director of the Computational Biology group, you will be a member of the Research & Development Leadership team, helping to provide strategic guidance to preclinical and translational programs from a CB perspective, providing direction to the CB team, and performing hands-on work to further our corporate goals. A deep knowledge of HTS technologies and methods, machine learning, statistical theory, programming, and biological assay best practices is essential for this role.
Duties And Responsibilities
  • Provide strong mentorship, strategic leadership and technical expertise in computational biology.

  • Lead a team of (approx. 3) scientists responsible for applying computational biology and statistics to impact decision making and program progression.

  • Lead the development and deployment of computational methods and workflows for the analysis of various sources of low- and high- throughput data including NGS.

  • Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data sets.

  • Influence the development of R&D strategies to enable rapid progression of novel small molecule therapeutics toward and through the clinic.

  • Ensure proper documentation of code, workflows, reports, and analyses of computational biology team.

  • Provide transparency and regular communication on complex research to colleagues at all levels and across disciplines.

  • Influence scientists and engineers cross-functionally to design studies that are appropriately powered and properly controlled to meet experimental and business objectives.

Basic Qualifications
  • PhD in Computational Biology, Bioinformatics, Statistics, Computer Science with 10+ years of experience in biotech/pharma industry.

  • 3+ years of experience managing a team of Scientists.

  • Strong grounding in biology or medicine with strong statistical and quantitative data analysis skills and experience.

  • Experience in developing bioinformatics workflows for NGS-based data and assays.

  • Proven ability to develop or apply new tools for the integrative analysis and visualization of multi-dimensional datasets.

  • Familiarity with the major public sources of transcriptomic and genomic data, and how to access and efficiently work with them.

  • Great technical and scientific background with strong leadership and management experience (must be a good technical/scientific, cultural and people leader).

  • Excellent verbal, written, analytical, and presentation communication skills; adept at communicating a clear vision and motivating teams to achieve goals.

  • Inspirational thought leader who can motivate, act with sense of urgency, and create excitement around the application of computational biology to drug discovery.

  • A proven computational biologist or bioinformatician with industry experience in discovery research or translational medicine (preferably in small molecule discovery and development).

Preferred Qualifications
  • Experience in data analysis using cloud computing infrastructure.

  • Experience partnering with vendors/strategic partners to ensure quality deliverables in a cost-effective manner

  • Experience with developing clinical patient strategies and biomarker collection plans

  • Strong scientific background and publication record with proven high levels of performance.